ArticleHeliyon2024
α-HBDH is a superior to LDH in predicting major adverse cardiovascular events in patients with acute aortic dissection.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Machine learning-derived serum carbon dioxide trajectories in predicting prognosis of patients with acute aortic dissection.Medical gas research · 2027Article
- Cardiovascular Biomarkers: Tools for Precision Diagnosis and Prognosis.International journal of molecular sciences · 2025Review
- A Machine Learning Model Integrating Tongue Image Features and Myocardial Injury Markers Predicts Major Adverse Cardiovascular Events in Patients with Coronary Heart Disease.International journal of general medicine · 2025Article
- Dimethyl Fumarate Prevents the Development of Chronic Social Stress-Induced Hypertension in Borderline Hypertensive Rats.Antioxidants (Basel, Switzerland) · 2024Article
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Authors and funding
4 authors.
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Abstract
Objective: Acute aortic dissection (AAD) with a high mortality and postoperative complications remains presently no effective indicators to conjunctly predict the short-term mortality and the prognosis. This study aimed to investigate the predictive role of α-HBDH on in-hospital mortality and postoperative Major adverse cardiovascular events (MACE) in patients with AAD. Methods: In this retrospective study, a total of 369 enrolled patients from 2015 to 2021 were divided into three groups (T1: low, T2: medium and T3: high) based on the tertiles of α-HBDH levels on admission. In terms of the preoperative, intraoperative and postoperative indicators among 3 groups, the relationship between α-HBDH and studying endpoints was determined by logistic regression models, along with the consolidation using Kaplan-Meier and restricted cubic spline (RCS) analysis for predicting the in-hospital death and MACE complications. Last, subgroup analysis further verified the predictive value of α-HBDH. Results: Logistic regression analysis showed that α-HBDH was independently associated with in-hospital mortality of patients with AAD [OR(95CI): 4.771(1.043-21.832), P = 0.044] and MACE [OR(95CI) Conclusions: α-HBDH is a predictor of the in-hospital mortality and postoperative MACE, guiding admission stratification of patients with AAD.
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